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Analytics Engineer II

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🔥 0 minutes ago

🦌 Connecticut – Remote

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💵 $68.9k - $131.1k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

👻 Ghost score 0%

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Logo of RTX

RTX

10,000+ employees

🚀 Aerospace

🎖️ Defense

🏭 Manufacturing

💰 $200k Grant - RTX on 2024-11

Aerospace • Defense • Manufacturing

RTX is a multinational aerospace and defense company that brings together aviation and defense businesses—including Collins Aerospace, Pratt & Whitney and Raytheon—to design, manufacture and service aircraft engines, auxiliary power units, integrated aerospace systems and defense solutions. The company focuses on advancing technologies that power flight, strengthen national security and support government and commercial customers worldwide, with a global presence across the Americas, Asia-Pacific, Europe, the Middle East and Africa. RTX emphasizes engineering, manufacturing, and research to solve complex technical challenges for aviation and defense.

📋 Description

• Conduct data analysis with Python to drive informed business decisions • Apply statistical methods to assess data completeness, accuracy, and reliability • Support engineering teams with root cause analysis investigations • Promote adoption of semantic models and ontologies across the organization • Design and build executable Python-based analytical models • Automate data processing, analysis, and formatting workflows • Clean, structure, and analyze datasets using Python • Deploy machine learning algorithms on numerical and categorical datasets • Integrate data across historically siloed business units • Transform complex engineering and operational data into actionable insights • Contribute to product performance, service optimization, and enterprise business intelligence strategies • Drive cross-functional collaboration and data-driven decision-making initiatives

🎯 Requirements

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience, unless prohibited by local laws/regulations, or an Advanced Degree in a related field • U.S. citizenship is required; only U.S. citizens are authorized to access information under this program/contract • Python experience for data analysis and model development • Background in Data Science, Statistics, or an Engineering discipline • Experience within the Aerospace & Defense industry or Information Systems environments • Familiarity with graph databases, semantic layers, and data ontology frameworks • Hands-on experience with AWS, Azure, or Apache Spark • Knowledge of Git or similar version control systems and software development best practices • Understanding of the full software development lifecycle, from concept through deployment • Experience using Agile collaboration and project management tools such as Jira and Confluence

🏖️ Benefits

• Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • 401(k) plan with employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection • Birth, adoption, and parental leave benefits • Ovia Health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives wellness rewards program • Doctor on Demand virtual doctor visits • Bright Horizons child and elder care services • Teladoc Medical Experts second opinion program • Flexible work schedules • Flexible spending accounts • Employee Scholar Program • Paid time off and holidays • Potential annual short-term and/or long-term incentive compensation programs (not guaranteed)

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Analytics Engineer II developing Python models and machine learning analytics for Collins Aerospace aerospace and defense products. Integrating engineering data to improve product performance and business intelligence.